1. Joint Modeling
1.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
1.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## HDevsum 1.00 1.00
## LDevsum 1.01 1.03
## dh0 1.00 1.01
## dl0 1.02 1.08
## dl1 1.00 1.00
## dl2 1.02 1.07
## dl3 1.01 1.02
##
## Multivariate psrf
##
## 1.02
1.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
1.4 WAIC results
| LevelH | LevelL | |
|---|---|---|
| DIC | 1400.01617 | 22514.3874 |
| DIC3 | 1263.97010 | 22364.9118 |
| PWAIC | 96.12173 | 315.1836 |
| WAIC | 1337.25313 | 22400.9252 |
2. Separate Modeling of High-Level
2.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
2.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## HDevsum 1 1.00
## dh0 1 1.02
##
## Multivariate psrf
##
## 1
2.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
2.4 WAIC results
| H0b | |
|---|---|
| DIC | 1398.25506 |
| DIC3 | 1261.37844 |
| PWAIC | 95.79572 |
| WAIC | 1334.86191 |
3. Separate Modeling for Low-level
3.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
3.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## LDevsum 1.04 1.18
## dl0 1.09 1.34
## dl1 1.04 1.19
## dl2 1.14 1.51
## dl3 1.01 1.05
##
## Multivariate psrf
##
## 1.09
3.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
3.4 WAIC results
| L7a | |
|---|---|
| DIC | 22316.9670 |
| DIC3 | 22315.8133 |
| PWAIC | 314.9939 |
| WAIC | 22351.8358 |